Development of an automated, reliable, and clinically meaningful artificial intelligence (AI) tool for diagnosing cardiac disease from conventional cardiovascular magnetic resonance (CMR) images
Aims: Cardiovascular magnetic resonance (CMR) imaging enables non-invasive assessment of myocardial structure, function, and pathology, but requires substantial experience in interpretation of CMR images that could be supported by artificial intelligence (AI)-based models. However, use of AI models for enhanced CMR reading is limited by labor-intensive data curation, suboptimal model performance, and unclear implementation pathways. Methods and results: We developed an automated data curation pipeline for CMR-based cardiovascular disease (CVD) diagnosis, integrating open-source locally-run lar
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- PossiblePossibly related (embedding) · 59%Artificial Intelligence in Cardiology: Applications in Diagnosis and Risk Prediction - Cureus →
- PossiblePossibly related (embedding) · 49%New AI blood test predicts heart disease 15 years early - ScienceDaily →
- PossiblePossibly related (embedding) · 46%Artificial Intelligence Across the Echocardiographic Workflow: A Narrative Review for Clinicians - Cureus →
- FuzzySimilar title/name (fuzzy) · 66%owainlewis/awesome-artificial-intelligence →
“Fuzzy title match (0.78): “Development of an automated, reliable, and clinically meanin” ≈ “owainlewis/awesome-artificial-intelligence””
- LinkedLinked via arxiv author · 85%Sina Amirrajab →
“Development of an automated, reliable, and clinically meaningful artificial intelligence (AI) tool for diagnosing cardia”
- LinkedLinked via arxiv author · 85%Volker Vehof →
“Development of an automated, reliable, and clinically meaningful artificial intelligence (AI) tool for diagnosing cardia”
- LinkedLinked via arxiv author · 85%Michael Bietenbeck →
“Development of an automated, reliable, and clinically meaningful artificial intelligence (AI) tool for diagnosing cardia”
- LinkedLinked via arxiv author · 85%Nuriye Akyol →
“Development of an automated, reliable, and clinically meaningful artificial intelligence (AI) tool for diagnosing cardia”